K. Teferra and L. Graham-Brady. Computational Materials Science, Vol. 102, pages 57-67 (2015). 

This article co-authored by Kirubel Teferra and Lori Graham-Brady, proposed novel models to represent and parametrize random morphology of polycrystalline microstructures.

Highlights:-

• Quantitatively evaluates a tessellation model’s ability to represent polycrystalline morphology.
• Introduces a reliable forward model for polycrystalline morphology.
• Simulates statistically equivalent polycrystalline microstructures using marked point process.

Above is Figure 2, page 60, from Computational Materials Science, Vol 102, which depicted the reconstruction of microstructure of IN100 Nickel superalloy data set along with best-fit realizations of tessellation models: (a) IN100 reconstructed data, (b) best-fit EGT realization, (c) best-fit SGT realization and (d) best-fit VT realization.